project-handoff
Project handoff skill: a dated handoff.md per project — current state, decisions with reasons, pitfalls as symptom/cause/fix, actionable next steps — so any fresh session resumes without archaeology. Bilingual EN/CN.
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Project handoff skill: a dated handoff.md per project — current state, decisions with reasons, pitfalls as symptom/cause/fix, actionable next steps — so any fresh session resumes without archaeology. Bilingual EN/CN.
Triage a scattered backlog into a bounded queue of decisions: every item gets a disposition (now / next / scheduled / waiting / reference / drop) with a stated reason, dropped items leave the list instead of haunting it, and anything that changes a commitment goes out as one approval batch.
Lightweight decision records for any project: capture decisions that are expensive to reverse or re-litigate — decision, alternatives, the why, reversibility — append-only, supersede instead of rewrite, kept where the project lives so the next session inherits the reasoning, not just the conclusion.
DeepSeek Harness 推理档位皮肤:把 @hytime/dsh-thinking-effort 的推理等级控件重绘成蓝紫渐变、带星点与流光的档位条。 / A skin for the DSH reasoning-tier control: a blue→violet pill with a starfield and a sheen sweep.
DeepSeek Harness plugin that captures the raw HTTP request and response bodies of model provider calls, shows the request body as a collapsible size-annotated JSON tree in a Conversation View tab and on a loopback viewer page, and assembles SSE responses back into reasoning, content and tool calls.
Let the Jev System One model pick the reasoning effort for every message, per model and per session.
Host-only DSH plugin: remember the reasoning effort that was last in effect per (provider, model) and restore it when a session switches back
Choose sub-agent provider, model, and reasoning effort per delegation or through persistent defaults
A reasoning-effort dial for the DeepSeek Harness composer: a violet particle field with meteors, magnetic level anchors and an eased circular thumb.
Frontend-injected per-model reasoning-effort (thinking strength) configuration for custom pi-ai providers. Registers a per-model 思考强度 editor into the Settings -> Models provider card and persists reasoningEfforts through the settings Remote.
DSH 思维链可视化:把模型的实时思考按 turn → step →(思考原文 + 工具调用)聚合成可读的右侧栏视图
Personal dsh preferences: a tunable companion to the official compaction engine (threshold, retention, summarization model/reasoning, turn-end compaction) and llama.cpp model-enrichment for the Models page
DeepSeek Harness 插件:一键配置任意 OpenAI 兼容 API 并自动带思考模式,同时规避 developer 角色被第三方端点拒绝(content_filter)的问题。基于 dsh-plugin-thinking-api@0.1.8(MIT,作者 qjf44)改造,适配 DSH 0.1.7-rc.2 的 entry-config 模型。
Configure per-teammate model & reasoning effort for DeepSeek Harness native agent teams, with a settings UI. 为 DSH 原生 Team 编队队员可视化配置模型与推理档位。
Jev 决策模型路由插件:默认只调思考强度(缓存安全),可选自动模型路由(默认关闭 + 缓存代价硬门禁)· DeepSeek Harness plugin
Expose per-model thinking levels (reasoningEfforts) inside the Models settings card for a custom model API route.
Per-model reasoning-effort levels and multimodal input settings for custom (llm-pi-ai) providers in the DSH Models settings page. · 为自定义供应商的每个模型配置推理强度档位与多模态输入。
Rice Patrol: bounded reasoning repetition guard and clean recovery for DeepSeek Harness
Make the DSH agent's thinking process (reasoning) use a language you choose — Simplified Chinese by default — and expand thinking rows by default. / 让 DSH 的思考过程用指定语言(默认简体中文)输出,并把思考行默认展开。
OpenRouter provider for DeepSeek Harness with a live model list: every model OpenRouter serves, with context sizes, reasoning levels and image input read from its /models endpoint.
DeepSeek Harness 插件:给单步思考一个字数预算,连续几步没有可见结论时强制先给结论再继续